MuMMI

Create Training Set

Train application_name system_name processors num_mpi num_omppn input frequency executable_name scenario frequency papi_tot_cyc papi_tot_ins papi_l1_tcm papi_l2_tcm papi_fml_ins papi_br_tkn papi_l2_ldm papi_l2_stm papi_fdv_ins papi_br_cn papi_tot_iis papi_ca_shr papi_ca_cln papi_ca_itv papi_br_ntk papi_br_msp papi_fp_ins papi_res_stl papi_l1_ldm papi_l1_stm papi_l2_tcw papi_l2_dca papi_l2_dcr papi_l2_dcw papi_l1_icm papi_br_ins papi_l1_dch papi_l1_dca papi_l1_dcm papi_l1_tca papi_l1_ica papi_fp_ops papi_l2_ica papi_tlb_dm papi_vec_ins papi_l2_dcm papi_l2_icm papi_l2_tch papi_l2_tca papi_ld_ins papi_sr_ins papi_tlb_im papi_hw_int papi_l3_tcm nruntime power_sys power_cpu power_mem num_mpi num_omppn scaling_factor
Horovod CANDLE P1B2 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=160.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2919995448339427 0.0155167505638111 0.0087861484841557 0.0 0.0159333187118111 0.0068188728705684 0.0 0.0 0.0471560195356304 0.0 0.0 0.0 0.0 0.0314048315604049 0.0031292814886216 0.0 0.382328377032899 0.0096939358476883 0.0 0.0 0.0 0.0 0.0 0.0058511921066782 0.0628050099547174 0.0 0.1255116729037376 0.0096939358476883 0.0 0.1969812296267999 0.0 0.0 0.0085576353719351 0.0 0.0 0.0 0.0127679533292511 0.0215541018134069 0.0847953046096643 0.0409911628198628 0.0 0.0 0.0 2.00108257369e-09 129.890836 82.661725 13.036388 32 64 185369481438.233012790131984811
Horovod CANDLE P1B2 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=150.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2899187218769004 0.0155537777480007 0.0085249350731503 0.0 0.0159158861909586 0.0067166028757194 0.0 0.0 0.0468330131493449 0.0 0.0 0.0 0.0 0.031182097636822 0.0031351660749453 0.0 0.3863557376220261 0.0096739253521362 0.0 0.0 0.0 0.0 0.0 0.0058762551576406 0.0627607230230082 0.0 0.1263186895476877 0.0096739253521362 0.0 0.1994486599721856 0.0 0.0 0.0086311526756195 0.0 0.0 0.0 0.0127289645057642 0.0212538995789146 0.0849771862701227 0.0411370224260406 0.0 0.0 0.0 2.26638574688e-09 129.758539 80.431095 11.689046 32 64 187268266041.770245886130887986
Horovod CANDLE P1B2 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=130.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2933795924134931 0.0156138032471341 0.0087485545447092 0.0 0.0157104501555348 0.0067540707888639 0.0 0.0 0.047276107656877 0.0 0.0 0.0 0.0 0.0314529848084587 0.0030982232432657 0.0 0.3829980914895237 0.0097471344362505 0.0 0.0 0.0 0.0 0.0 0.0058492240486388 0.0619650609008806 0.0 0.1256811819442837 0.0097471344362505 0.0 0.1992731143795563 0.0 0.0 0.0086034109235371 0.0 0.0 0.0 0.0127854083077394 0.0215339628524486 0.0849702252483239 0.0411384167373565 0.0 0.0 0.0 2.38670981276e-09 125.980769 80.005656 12.739819 32 64 185146240920.255141977271132155
Horovod CANDLE P1B2 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=140.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2918010360674518 0.0156182273920482 0.0088036009077654 0.0 0.0155059554999704 0.0067728056822417 0.0 0.0 0.0470480689155586 0.0 0.0 0.0 0.0 0.0313011705306757 0.0031720560781203 0.0 0.3845558328836599 0.0097256332407524 0.0 0.0 0.0 0.0 0.0 0.0058503494415808 0.0621625623542832 0.0 0.1263889332821551 0.0097256332407524 0.0 0.198445422015232 0.0 0.0 0.0087851427123857 0.0 0.0 0.0 0.0128192805742645 0.0216228814820299 0.0836826215466611 0.0407564190461717 0.0 0.0 0.0 2.39706553521e-09 127.246652 80.732143 12.418527 32 64 186495859388.690376180463927534
Horovod CANDLE P1B2 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2910219149872771 0.0156488318362056 0.0087522584733897 0.0 0.0157057520954325 0.0067141813539082 0.0 0.0 0.0468430893374472 0.0 0.0 0.0 0.0 0.0311474103904523 0.0031526215292547 0.0 0.3821997463779932 0.0096698429212612 0.0 0.0 0.0 0.0 0.0 0.0059123346245174 0.0620349107029751 0.0 0.1255550897383861 0.0096698429212612 0.0 0.1987023284865896 0.0 0.0 0.0085240732170095 0.0 0.0 0.0 0.0128157344767501 0.0215679929501397 0.084610849208096 0.0408921082038279 0.0 0.0 0.0 2.84424512997e-09 131.809972 85.867357 10.990593 32 64 186722927431.223794632263891348
Horovod CANDLE P1B2 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2910219149872771 0.0156488318362056 0.0087522584733897 0.0 0.0157057520954325 0.0067141813539082 0.0 0.0 0.0468430893374472 0.0 0.0 0.0 0.0 0.0311474103904523 0.0031526215292547 0.0 0.3821997463779932 0.0096698429212612 0.0 0.0 0.0 0.0 0.0 0.0059123346245174 0.0620349107029751 0.0 0.1255550897383861 0.0096698429212612 0.0 0.1987023284865896 0.0 0.0 0.0085240732170095 0.0 0.0 0.0 0.0128157344767501 0.0215679929501397 0.084610849208096 0.0408921082038279 0.0 0.0 0.0 2.84424512997e-09 131.809972 85.867357 10.990593 32 64 186722927431.223794632263891348
Horovod CANDLE P1B2 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=120.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2892896405228226 0.015508137187591 0.008811577432281 0.0 0.0156300657313667 0.0067579359421379 0.0 0.0 0.0467060728028261 0.0 0.0 0.0 0.0 0.0312758356128172 0.0031338288797157 0.0 0.3849506551888187 0.0096459954578039 0.0 0.0 0.0 0.0 0.0 0.0059154020463164 0.0627577864015502 0.0 0.1252688293678044 0.0096459954578039 0.0 0.1993361398892291 0.0 0.0 0.0087070577659085 0.0 0.0 0.0 0.0128198269425966 0.0216314043748776 0.0832769362236684 0.0405612840145393 0.0 0.0 0.0 3.22090361932e-09 127.518734 77.027477 11.991674 32 64 186353486766.77272665532458687
Horovod CANDLE P1B2 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=110.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2913613949371695 0.0155278069020568 0.0087901963244834 0.0 0.0157392363956098 0.0066986130109727 0.0 0.0 0.0469625467149985 0.0 0.0 0.0 0.0 0.0312518946494278 0.0031582206391056 0.0 0.3813693576585862 0.0096607011207777 0.0 0.0 0.0 0.0 0.0 0.0058951947060445 0.0620286421041552 0.0 0.1250343038310494 0.0096607011207777 0.0 0.1976847395567036 0.0 0.0 0.0086281478446035 0.0 0.0 0.0 0.0129091792950425 0.021699375619526 0.0843901765943219 0.0408084063816933 0.0 0.0 0.0 3.21276071744e-09 126.564892 77.695507 11.280366 32 64 186941295609.020554994550798912
Horovod CANDLE P1B2 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=100.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3213339079689962 0.0129037696895668 0.0076766141239758 0.0 0.0204325895322643 0.0062092601861206 0.0 0.0 0.0459361339915948 0.0 0.0 0.0 0.0 0.0251673821799123 0.0047968390444867 0.0 0.3494712329061622 0.0078791860249397 0.0 0.0 0.0 0.0 0.0 0.0050535273543975 0.0676356868369256 0.0 0.1496247538763208 0.0078791860249397 0.0 0.2418103825779654 0.0 0.0 0.0079211261375065 0.0 0.0 0.0 0.0096081115118806 0.0172847256358564 0.100732644197529 0.0472049573479833 0.0 0.0 0.0 3.26591200659e-09 123.3772 74.121653 12.966335 32 64 199927514789.889524743663647991
Horovod CANDLE P1B2 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=80.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3240934304137474 0.0129555156798742 0.0076779604973185 0.0 0.0202456519515475 0.0062154639052487 0.0 0.0 0.0462892407506007 0.0 0.0 0.0 0.0 0.0253566113083717 0.0048377989590145 0.0 0.3508030296829009 0.0078670233775176 0.0 0.0 0.0 0.0 0.0 0.0051193277058112 0.0674639991653395 0.0 0.1464810139606968 0.0078670233775176 0.0 0.2326002123679633 0.0 0.0 0.0079749751463926 0.0 0.0 0.0 0.0096174817952426 0.0172954422925611 0.0994572822152243 0.0505657894325143 0.0 0.0 0.0 3.42617930044e-09 130.906618 87.799265 13.491912 32 64 198368366452.017826025950292955
Horovod CANDLE P1B2 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=70.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2913279105373151 0.015461694077346 0.0085129885170834 0.0 0.0156451573676552 0.0066543611973256 0.0 0.0 0.046894613468309 0.0 0.0 0.0 0.0 0.031232238690194 0.0031603369425512 0.0 0.3844547151670059 0.0094955089879207 0.0 0.0 0.0 0.0 0.0 0.0059261908601824 0.0619441955722062 0.0 0.1261517011056409 0.0094955089879207 0.0 0.2004061194849172 0.0 0.0 0.0085260343349653 0.0 0.0 0.0 0.0126565036592673 0.0211694921763507 0.0846668330779704 0.0409493430549189 0.0 0.0 0.0 3.82199167439e-09 128.569735 82.603905 12.994421 32 64 187476268931.004545960428543591
Horovod CANDLE NT3 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=70.0, epochs=32.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5915456245453429 0.0181991053350652 0.0021098986962289 0.0 0.0303195386126334 0.0010125920824603 0.0 0.0 0.1105720735916597 0.0 0.0 0.0 0.0 0.0801930960041473 0.0069916771146888 0.0 0.1780824328434437 0.0060007800229333 0.0 0.0 0.0 0.0 0.0 0.012249626943342 0.143099579302906 0.0 0.2255412096864838 0.0060007800229333 0.0 0.4314312738585189 0.0 0.0 0.004636451270625 0.0 0.0 0.0 0.0169322292796207 0.0190421279758496 0.1579426935324858 0.0634309286677008 0.0 0.0 0.0 4.65373142023e-09 134.342243 86.565841 12.02412 32 64 164684584647.156656395773258662
Horovod CANDLE NT3 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=60.0, epochs=32.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.589260439861016 0.017970948018464 0.0020350221923251 0.0 0.0307127600885935 0.0010195269688555 0.0 0.0 0.1100551175421051 0.0 0.0 0.0 0.0 0.0798333875485896 0.0070311799512325 0.0 0.1777726571684621 0.0058706528941053 0.0 0.0 0.0 0.0 0.0 0.0120897635805487 0.1451450003429502 0.0 0.2231477411063066 0.0058706528941053 0.0 0.4288679774325745 0.0 0.0 0.0047927386714248 0.0 0.0 0.0 0.0175844608188044 0.0196194830111296 0.1593571856230822 0.0639176631482258 0.0 0.0 0.0 4.70285678919e-09 144.247902 89.906391 13.665591 32 64 164553810521.89951685148775467
Horovod CANDLE NT3 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=50.0, epochs=32.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5918506774986815 0.0177891947150531 0.0020669347997115 0.0 0.0300868364410104 0.0010155994215832 0.0 0.0 0.1105300575170683 0.0 0.0 0.0 0.0 0.0801996816286535 0.007070226726729 0.0 0.1764256669501891 0.0058401880053059 0.0 0.0 0.0 0.0 0.0 0.0120494684791785 0.1420857063300847 0.0 0.2220799638279443 0.0058401880053059 0.0 0.4358182371620772 0.0 0.0 0.0047580645011046 0.0 0.0 0.0 0.0171405340561962 0.0192074688559077 0.1594288582535308 0.0640201404732082 0.0 0.0 0.0 4.80783233811e-09 149.461002 92.985415 9.329106 32 64 163899662380.857973491609229015
Horovod CANDLE NT3 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=40.0, epochs=32.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5925683280595216 0.0180943537581342 0.0020420635696528 0.0 0.030487636424052 0.0010200389064262 0.0 0.0 0.1106685334045081 0.0 0.0 0.0 0.0 0.0802674103051942 0.0070361516812861 0.0 0.1807417604508595 0.0059731541119499 0.0 0.0 0.0 0.0 0.0 0.0120694432152028 0.1440706208378984 0.0 0.2200172725314616 0.0059731541119499 0.0 0.4292425111140519 0.0 0.0 0.0046225474592547 0.0 0.0 0.0 0.0172805108898466 0.0193225744594993 0.1585045975382122 0.0636239889706511 0.0 0.0 0.0 4.89250883077e-09 136.812617 90.482823 9.978139 32 64 163581272039.123212073972920496
Horovod CANDLE NT3 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=30.0, epochs=32.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5922223626963528 0.0181816478640797 0.0020639437029233 0.0 0.0302944066997383 0.0010117485188188 0.0 0.0 0.1106372795604314 0.0 0.0 0.0 0.0 0.0802539193792707 0.0069539534979366 0.0 0.1744592465560536 0.0059682435450362 0.0 0.0 0.0 0.0 0.0 0.0121642336403148 0.1433331406446414 0.0 0.2237476130733807 0.0059682435450362 0.0 0.4317223761322315 0.0 0.0 0.0046765019542518 0.0 0.0 0.0 0.0173392402613385 0.0194031839642618 0.1610490437345628 0.0646898407917667 0.0 0.0 0.0 5.01021572516e-09 146.664229 91.669104 12.015235 32 64 163673702887.077224112554084513
Horovod CANDLE P1B2 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2907532442099804 0.0157640948691236 0.0087074114757953 0.0 0.0155756033308626 0.006643911817552 0.0 0.0 0.0468705235064047 0.0 0.0 0.0 0.0 0.0312499711274323 0.0031735354964812 0.0 0.3730577081415943 0.0096414140116357 0.0 0.0 0.0 0.0 0.0 0.0060620435622044 0.0618850032758349 0.0 0.126019231460971 0.0096414140116357 0.0 0.198252601454383 0.0 0.0 0.0084565806500225 0.0 0.0 0.0 0.0128574331542868 0.0215648446300821 0.0841241162335619 0.0407082078945661 0.0 0.0 0.0 4.53201505315e-09 133.71697 82.342924 12.473282 32 64 187859980608.016970527215381343
Horovod CANDLE P1B2 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=60.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3214881408242813 0.0130476504355097 0.0076008154858579 0.0 0.0206136971946904 0.0061951704900459 0.0 0.0 0.0459309855803296 0.0 0.0 0.0 0.0 0.0251758542035496 0.0048171842149415 0.0 0.346510695294263 0.007864475008764 0.0 0.0 0.0 0.0 0.0 0.0047120788070023 0.0679460266969434 0.0 0.1495168351465718 0.007864475008764 0.0 0.2312545932082281 0.0 0.0 0.0079277114426741 0.0 0.0 0.0 0.009684382334457 0.0172851978203149 0.0991115534351995 0.0503670431507767 0.0 0.0 0.0 4.27444087793e-09 129.366337 79.942924 13.937682 32 64 200802670691.204302802473877426
Horovod CANDLE NT3 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=10.0, epochs=32.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.591045431487568 0.0180499782570371 0.0020540402207359 0.0 0.0304078906050813 0.001019655260747 0.0 0.0 0.1103420707330948 0.0 0.0 0.0 0.0 0.0800319590779838 0.0071308652500253 0.0 0.1707174847671214 0.0059276159218867 0.0 0.0 0.0 0.0 0.0 0.0122343016764494 0.1436723099200096 0.0 0.2243329874908706 0.0059276159218867 0.0 0.4322112508034198 0.0 0.0 0.0047787347259205 0.0 0.0 0.0 0.0175064270951072 0.019560467315843 0.1596996332528668 0.0641384554121246 0.0 0.0 0.0 6.56055486918e-09 133.612245 83.03757 11.014842 32 64 164260006583.054949039410298875
HACC ANL Theta 32 32 1 nstep=3.0, nsub=5.0, ng/np=640.0 1.301 hacc_tpm empirical 1.301 1 0.6203920762538664 0.0082485054580343 0.0 0.0 0.0 0.1781870063701905 0.0379189854136265 0.0 0.0003730401641616 0.0 0.0 0.0 0.0 0.0418566210138652 0.0214883924104351 0.0 0.0209107665818494 0.00806179211143 0.0785414923354304 0.0126658603777244 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0001606975000527 0.0 0.0 0.0 0.0599303541590674 0.0080603439018952 0.0 0.0089613876051462 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.6403532479e-10 189.794449 133.927529 12.322738 32 1 5571239900681.241903498